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Piyawat Sriprasert. Development of AI chatbot for tourism promotion : a case study in Ranong and Chumphon, Thailand. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Development of AI chatbot for tourism promotion : a case study in Ranong and Chumphon, Thailand
Name: Nasith Laosen
Organization :
Phuket Rajabhat University. Faculty of Science and Technology
Email :
nasith.l@pkru.ac.th
Name: Kanjana Laosen
Organization :
Prince of Songkla University Phuket Campus. College of Computing
Email :
kanjana.l@phuket.psu.ac.th
Name: Piyawat Sriprasert
Organization :
Suranaree University of Technology. Institute of Engineering
Email :
d6200534@g.sut.ac.th
keyword:
Tourism promotion
LCSH:
Chatbots
LCSH:
Artificial intelligence
Abstract:
Ranong and Chumphon provinces in Thailand pos-
sess significant tourism potential due to their natural beauty and
archaeological heritage. However, tourism development in the
region remains limited due to inadequate information infrastruc-
ture and limited technology integration. This research presents
a chatbot designed to promote tourism in these locations. The
chatbot leverages a graph database built using data from the
University to Tambon (U2T) project. Functioning as a virtual
travel companion, it provides information on tourist attractions,
accommodations, and dining options. Advanced natural language
processing and machine learning enable the chatbot to under-
stand user inquiries and effectively retrieve relevant information.
Evaluation demonstrates strong performance with an F1-score
of 99.56 for intent classification and 99.96 for named entity
recognition. Testing with user-designed test cases confirmed the
chatbots functionality.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-26
Issued:
2025-05-26
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.224-231). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.022026 วินาที
Nasith Laosen
| Title | Contributor | Type |
|---|---|---|
| Development of AI chatbot for tourism promotion : a case study in Ranong and Chumphon, Thailand
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nasith Laosen;Kanjana Laosen;Piyawat Sriprasert | บทความ/Article | |
| Named entity recognition for Thai historical data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nasith Laosen;Kanjana Laosen;Thummarat Paklao | บทความ/Article |
Kanjana Laosen
| Title | Contributor | Type |
|---|---|---|
| An NLP-based approach for detecting ambiguity of Thai software requirements specification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Intana;Kanjana Laosen;Panya Nuanchan;Nattapong Pattanakit;Sathani Dermchai | บทความ/Article | |
| Development of AI chatbot for tourism promotion : a case study in Ranong and Chumphon, Thailand
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nasith Laosen;Kanjana Laosen;Piyawat Sriprasert | บทความ/Article | |
| Named entity recognition for Thai historical data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nasith Laosen;Kanjana Laosen;Thummarat Paklao | บทความ/Article |
Piyawat Sriprasert
| Title | Contributor | Type |
|---|---|---|
| Development of AI chatbot for tourism promotion : a case study in Ranong and Chumphon, Thailand
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nasith Laosen;Kanjana Laosen;Piyawat Sriprasert | บทความ/Article |